1,720,956 research outputs found
ADABIYOTDA IDIOMALAR TARJIMASIDA SUN'IY INTELLEKTNING TA'SIRI: CHATGPT, YANDEX VA MICROSOFT TRANSLATORNING QIYOSIY TADQIQOTI
Get PDFThis study examines the translation of idioms by three machine translation systems: ChatGPT, Yandex Translate, and MicrosoftTranslator. The study employs quantitative and comparative methods, using data drawn from the novel “The Prince and the Pauper”by Mark Twain.Данное исследование рассматривает перевод идиом тремя системами машинного перевода: ChatGPT, Yandex Translate иMicrosoft Translator. В работе применяются количественные и сравнительные методы, а материалом исследования служатданные, взятые из романа Марка Твена «Принц и нищий».Ushbu taqdidotda uchta mashina tarjimasi tizimi — ChatGPT, Yandex Translate va Microsoft Translator tomonidan idiomalarningtarjima qilinishini o‘rganadi. Tadqiqotda miqdoriy va qiyosiy usullar qo‘llanilgan bo‘lib, idiomalar Mark Tvenning “Shahzoda vagado” romanidan olingan
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
ARTIFICIAL INTELLIGENCE APPLICATIONS IN GYNECOLOGY: A COMPREHENSIVE REVIEW OF EMERGING TECHNOLOGIES AND CLINICAL IMPLICATIONS
No full textThe integration of Artificial Intelligence (AI) into gynecology has revolutionized diagnostic and therapeutic approaches, enhancing patient outcomes and clinical efficiency. This comprehensive review explores the current landscape of AI applications in gynecology, encompassing diagnostic imaging, predictive analytics, surgical assistance, and patient management. By analyzing recent studies and technological advancements, we highlight the transformative potential of AI in addressing complex gynecological conditions and improving healthcare delivery. The growing complexity and variability of otorhinolaryngological (ENT) diseases necessitate a shift from traditional, discipline-specific models of care to a more holistic, interdisciplinary approach. This article explores the integration of collaborative strategies involving otolaryngologists, audiologists, radiologists, speech therapists, neurologists, allergists, and other specialists to enhance the diagnosis and treatment of ENT disorders. As the field evolves with advances in imaging, molecular diagnostics, and personalized therapy, the need for comprehensive clinical assessment and cross-specialty coordination has become more pressing than ever. Through a review of current literature and clinical practices, this study demonstrates how interdisciplinary collaboration leads to earlier detection, more accurate diagnoses, and improved treatment outcomes in a variety of ENT conditions including chronic rhinosinusitis, otitis media, head and neck tumors, obstructive sleep apnea, and voice disorders. Despite notable benefits, barriers such as communication gaps, resource limitations, and institutional inertia remain challenges. This paper underscores the importance of fostering integrative healthcare ecosystems that facilitate interdisciplinary collaboration for optimal patient-centered care in otorhinolaryngology
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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